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Evaluating Passage Retrieval Approaches for Question Answering

机译:评估问题的段落检索方法

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Automatic open domain question answering (QA) has been the focus of much recent research, stimulated by the introduction of a QA track in TREC in 1999. Many QA systems have been developed and most follow the same broad pattern of operation: first an information retrieval (IR) system, often passage-based, is used to find passages from a large document collection which are likely to contain answers, and then these passages are analysed in detail to extract answers from them. Most research to date has focused on this second stage, with relatively little detailed investigation into aspects of IR component performance which impact on overall QA system performance. In this paper, we (a) introduce two new measures, coverage and answer redundancy, which we believe capture aspects of IR performance specifically relevant to QA more appropriately than do the traditional recall and precision measures, and (b) demonstrate their use in evaluating a variety of passage retrieval approaches using questions from TREC-9 and TREC 2001.
机译:自动开放域问答(QA)一直是最近研究的重点,受TREC在1999年引入QA跟踪的刺激。许多QA系统已经开发,并且大多数遵循相同的广泛操作模式:首先是信息检索(IR)系统(通常基于段落)用于从大型文档集中查找可能包含答案的段落,然后对这些段落进行详细分析以从中提取答案。迄今为止,大多数研究都集中在第二阶段,而对影响整个QA系统性能的IR组件性能方面的详细研究则相对较少。在本文中,我们(a)引入了两种新的衡量指标,即覆盖率和答案冗余,我们认为与传统的召回率和精确性衡量指标相比,捕获与IR量化特别相关的IR性能方面更为合适,并且(b)展示了它们在评估中的应用使用来自TREC-9和TREC 2001的问题的各种段落检索方法。

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